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CS 331A: Advanced Reading in Computer Vision

(Formerly CS323) The field of computer vision has seen an explosive growth in past decade. Much of recent effort in vision research is towards developing algorithms that can perform high-level visual recognization tasks on real-world images and videos. With development of Internet, this task becomes particularly challenging and interesting given the heterogeneous data on the web. Course will focus on reading recent research papers that are focused on solving high-level visual recognition problems, such as object recognition and categorization, scene understanding, human motion understanding, etc. Project required. Prerequisite: some experience in research with one of the following fields: computer vision, image processing, computer graphics, machine learning.

Last offered: Winter 2014

CS 331B: 3D Representation and Recognition

The course surveys recent developments in high level and 3D computer vision and will focus on reading recent research papers on topics related to 3D object recognition and representation, spatial inference, activity understanding, human vision and 3D perception. The course is inspired by a famous series of workshops (called 3d-RR) which have been offered during the International Conference in Computer Vision (ICCV) since 2007. Prerequisites - Some experience in research with one of the following fields: computer vision, image processing, computer graphics, machine learning.

Last offered: Autumn 2013

CS 334A: Convex Optimization I (CME 364A, EE 364A)

Convex sets, functions, and optimization problems. The basics of convex analysis and theory of convex programming: optimality conditions, duality theory, theorems of alternative, and applications. Least-squares, linear and quadratic programs, semidefinite programming, and geometric programming. Numerical algorithms for smooth and equality constrained problems; interior-point methods for inequality constrained problems. Applications to signal processing, communications, control, analog and digital circuit design, computational geometry, statistics, machine learning, and mechanical engineering. Prerequisite: linear algebra such as EE263, basic probability.

Terms: Win, Sum | Units: 3

Instructors: Boyd, S. (PI) ; Moehle, N. (PI) ; Busseti, E. (TA) ... more instructors for CS 334A »

Instructors: Boyd, S. (PI) ; Moehle, N. (PI) ; Busseti, E. (TA) ; Dao, T. (TA) ; Fannjiang, C. (TA) ; Go, K. (TA) ; Hong, J. (TA) ; Khosravi, K. (TA) ; Lawson, D. (TA) ; Lemon, A. (TA) ; Li, C. (TA) ; Tefagh, M. (TA) ; Yu, J. (TA) ; Zhechev, Z. (TA)

CS 340: Topics in Computer Systems

Topics vary every quarter, and may include advanced material being taught for the first time. May be repeated for credit.

CS 341: Project in Mining Massive Data Sets

Team project in data-mining of very large-scale data, including the problem statement and implementation and evaluation of a solution. Teams consist of three students each, and they will meet regularly with a "coach" chosen from participating staff. Early lectures will cover the use of Amazon EC2 and certain systems like Hadoop and Hive. Occasional lectures thereafter will feature outside speakers, special topics of interest, and progress reports by the teams.

Terms: Spr | Units: 3

Instructors: Rajaraman, A. (PI) ; Re, C. (PI) ; Ullman, J. (PI) ; Sadhwani, A. (TA)

CS 344: Topics in Computer Networks

High-performance embedded system design. Student teams of two software engineers (C experience required) and one hardward engineer (Verilog experience required) build a fully functioning Internet router Work in teams of three. How router interoperates with others in class. Open-ended design challenge judged by panel of industry experts. Prerequisites: CS 144, 244, or network programming experience.

Last offered: Spring 2011

CS 344E: Advanced Wireless Networks

Networking research in wireless systems. Topics include: multi-channel/multi-radio systems, routing, coding, physical layer hints, low power, mesh networking, interference cancellation, technological trends, and protocol design. Students implement and test research ideas on SWAN, a WiFi testbed.

Last offered: Spring 2011 | Repeatable 1 times (up to 3 units total)

CS 344G: Network Application Studio

Graduate project class on computer networking, emphasizing end-to-end applications and protocols. Students will propose and execute an original project in teams of 2-3, culminating in a final writeup and presentation/demonstration. Each week, students will read, present, and lead a discussion about a seminal paper or system. Prerequisites: programming experience.

Terms: Win | Units: 3

Instructors: Winstein, K. (PI)

CS 346: Database System Implementation

A major database system implementation project realizes the principles and techniques covered in earlier courses. Students independently build a complete database management system, from file structures through query processing, with a personally designed feature or extension. Lectures on project details and advanced techniques in database system implementation, focusing on query processing and optimization. Guest speakers from industry on commercial DBMS implementation techniques. Prerequisites: 145, 245, programming experience in C++.

Last offered: Spring 2015

CS 347: Parallel and Distributed Data Management

The principles and system organization of distributed and parallel databases. Data fragmentation and distribution, distributed database design, query processing and optimization, distributed concurrency control, reliability and commit protocols, and replicated data management. Data management in peer-to-peer systems. Data management in the "cloud" using map-reduce and other massive parallelism techniques.